Diabetes and work: 12-year national follow-up study of the association of diabetes incidence with socioeconomic group, age, gender and country of origin

Scand J Public Health. 2014 Dec;42(8):728-33. doi: 10.1177/1403494814556177. Epub 2014 Nov 11.

Abstract

Aims: To investigate the extent and socioeconomic distribution of incident diabetes among the Danish working-age population.

Methods: The Danish National Diabetes Register was linked with socioeconomic and population-based registers covering the entire population. We analysed the 12-year diabetes incidence using multivariate Poisson regression for 2,086,682 people, adjusting for gender, 10-year age groups, main population groups defined by country of origin, and seven socioeconomic groups: professionals, managers, technicians, workers skilled at basic level, unskilled workers, unemployed and pensioners.

Results: The crude 12-year incidence of diabetes was 5.8%. The saturated multivariate model, adjusted for gender, age, country of origin and socioeconomic status; showed a relative risk (RR) for diabetes incidence of 1.44 for male (reference: female), 3.95 for the age range of 50-59 years (reference: 30-39 years), 2.07 for unskilled workers (reference: professionals) and 2.15 for people from countries of 'non-Western origin' (reference: Danish origin).

Conclusions: Diabetes incidence increases with age, male gender and low socioeconomic status; and also among people from countries of 'non-Western origin'. The results indicate that getting a more senior workforce will substantially increase the proportion of workers with diabetes, especially among already vulnerable groups.

Keywords: Age; diabetes incidence; gender; health inequity; labour marketplace; registry; retirement; seniors; socioeconomic factors; survey; workforce.

MeSH terms

  • Adult
  • Age Distribution
  • Denmark / epidemiology
  • Diabetes Mellitus / epidemiology*
  • Female
  • Follow-Up Studies
  • Health Status Disparities*
  • Humans
  • Incidence
  • Male
  • Middle Aged
  • Multivariate Analysis
  • Registries
  • Risk Factors
  • Sex Distribution
  • Socioeconomic Factors
  • Work*